Rancang Bangun Sistem Fertigasi Otomatis Berbasis Mikrokontroler dan IoT (Internet of Things)
DOI:
https://doi.org/10.24843/j.beta.2025.v13.i01.p21Keywords:
automation, fertigation, hydroponics, iotAbstract
Hydroponic systems can be a solution in producing more quality and sustainable vegetables. The use
of nutrient solutions through fertigation systems is an important part of hydroponic systems. However,
many of the control of the fertigation equipment is done manually, so workers often have difficulty in
carrying out routines. The purpose of this research is to design and build an automated system on
fertigation equipment using microcontroller technology and the Internet of Things. The research
method was carried out by designing a prototype of an automated fertigation system that involves the
functional design and structural design of hardware and software for data processing. The results of
the design of the automatic fertigation prototype using ESP 32 as a microcontroller, KS0429 TDS
meter sensor, DS18B20 temperature sensor, pH 4502C sensor, JSN-SR04T sensor as water level
meter, RTC DS3231 SN as a timer, relay as an output switch, water pump as an output to increase
nutrients and water, 16x2 LCD, buzzer and button as a monitoring and control system, and Blink
software as a monitoring system through smartphones. The performance test of the tool is carried out
by means of sensor test and system test. Tests on TDS meter sensors, ultrasonic sensors, temperature
sensors, pH sensors show value of Sig. (2-tailed): 0.000 < 0.05, meaning there is a significant
correlation, and Pearson Correlation = 1, indicating a perfect correlation, and the test results of the
system with RMSE = 0.042, then the microcontroller-based and IoT-based automatic fertigation
prototype can be declared to work well.
References
Andhika Mardiansyah. (2018). Rancang Bangun Sistem Monitoring Tanaman Tomat Berdasarkan Tingkat Kelembaban Tanah, pH, dan Suhu Serta Penyiraman Otomatis Berbasis Internet of Things. Universitas Komputer Indonesia.
Denanta, P., Perteka, B., Piarsa, I. N., & Wibawa, K. S. (2020). Sistem Kontrol dan Monitoring Tanaman Hidroponik Aeroponik Berbasis Internet of Things. 8(3), 197–210.
Fezari, M., & Al Dahoud, A. (2019). Exploring Onewire Temperature sensor “DS18B20” with Microcontrollers. University of Al-Zaytoonah Faculty of IT, February, 1–9.
Goldramijaya, W., Sulastri, N. N., Wijaya, I. M. A. S., & Budisanjaya, I. P. G. (2022). Rancang Bangun Sistem Kontrol Kelembaban Udara Greenhouse Menggunakan PWM (Pulse Width Modulation). BETA (Biosistem Dan Teknik Pertanian), 11(1), 152–164.
Hongbo, Y., Man, C., & Shujie, P. (2014). Construction and performance experiment of integrated water and fertilization irrigation recycling system. Transactions of the Chinese Society of Agricultural Engineering, 72–78.
Pitono, J. (2019). Prospek Fertigasi Untuk Pengelolaan Hara Pada Budidaya Lada. Perspektif, 17(2), 117. https://doi.org/10.21082/psp.v17n2.2018.117-128
Pohan, S. A., & Oktoyournal. (2019). Pengaruh konsentrasi nutrisi a-b mix terhadap pertumbuhan caisim secara hidroponik ( drip system ). 18(1), 20–32.
Rosliani, R., & Sumarni, N. (2005). Budidaya Tanaman Sayuran dengan Sistem Hidroponik. 27, 1–28.
Ruan, J., Wang, Y., Chan, F. T. S., Hu, X., Zhao, M., Zhu, F., Shi, B., Shi, Y., & Lin, F. (2019). A Life Cycle Framework of Green IoT-Based Agriculture and Its Finance, Operation, and Management Issues. IEEE Communications Magazine, 57(3), 90–96.
Saaid, M. F., Fadhil, N. S. M., Ali, M. S. A. M., & Noor, M. Z. H. (2013). Automated indoor Aquaponic cultivation technique. Proceedings - 2013 IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013, 285–289.
Silviani. (2022). Timbangan Berbasis Internet Of Things (IoT) Untuk Beban Dinamik Dengan Feature Forecasting Bobot (Universitas Siliwangi). http://repositori.unsil.ac.id/8527/
Syakur, A., Jumrianto, & Wahyudi. (2020). Kalibrasi Sensor Tegangan dan Sensor Arus dengan Menerapkan Rumus Regresi Linear menggunakan Software Bascom AVR. 1(1), 1–14.
Theo Syafei, D., & Watiasih, R. (2021). Aplikasi IoT Pada Sistem Kontrol dan Monitoring Tanaman. November 2021, 73–86.
Wibawa, I. M. A. D. T., Sumiyati, S., & Budisanjaya, I. P. G. (2021). Rancang Bangun Sistem Pencampuran Nutrisi pada Fertigasi untuk Hidroponik Berbasis IoT (Internet of Things). Jurnal BETA (Biosistem Dan Teknik Pertanian), 10(1), 175.
Wibowo, N. S., Aziziah, M., Wiryawan, I. G., & Rosdiana, E. (2022). Implementasi Metode Regresi Linier Pada Rancang Bangun Sistem
Informasi Monitoring Nutrisi Tanaman Hidroponik Kangkung. JTIM : Jurnal Teknologi Informasi Dan Multimedia, 4(1), 13–24. https://doi.org/10.35746/jtim.v4i1.186
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
License Term
All articles published in Jurnal Beta (Biosistem dan Teknik Pertanian) are open access and licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This means that anyone is free to:
-
Share — copy and redistribute the material in any medium or format.
-
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
However, this is granted under the following conditions:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
-
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
By submitting an article to Jurnal Beta (Biosistem dan Teknik Pertanian), authors agree to the publication of their work under this open access license. The authors retain the copyright of their work, but grant Jurnal Beta (Biosistem dan Teknik Pertanian) the right of first publication.
For more information about the CC BY 4.0 license, please visit the official website: https://creativecommons.org/licenses/by/4.0/